Leah vs Leegality: how they compare in 2026
Leah is the stronger candidate for an enterprise trying to coordinate contracting with procurement, finance and broader legal operations through connected agents. Leegality is more focused on completing Indian agreements through review, approvals, eStamping and eSigning, then tracking their obligations. The shared Word review surface should not obscure that difference in operating scope. In its evaluation, AI Legal Index identifies Leah's policy controlled agent actions and logged rationale as a concrete feature of its broader orchestration model. Leegality instead offers a visible sequence from customer rules to suggested wording and a configured human approval step. Its India storage and processing statement is useful where geographic handling is a primary requirement. Leah's implementation depends on selecting connected systems, agent permissions and rollout phases, while Leegality's proposal needs to distinguish AI contract features from ordinary execution transactions.
At a glance
All 15 axes, side by side
The same grid applied to every vendor in the index, graded from public sources. Hover a grade to see what the letter means on that axis.
AI Centrality
How much of the product is actually AI. Whether the machine learning is the mechanism the buyer is paying for or a feature layered onto conventional software, and whether the vendor is specific about which is which.
Leah sells AI agents and an orchestration layer that sit on top of a contract lifecycle platform, and that platform works without them. The vendor describes it the other way round. It says other vendors bolted AI onto systems built for manual workflows, while Leah was designed from scratch with orchestration as the foundation. ContractPod Technologies has sold contract lifecycle management since 2012. Leah launched in March 2023 as an AI services hub within that platform, went standalone in May 2023, and Leah Intelligence followed in October 2024. Without the agents, the product is still a working CLM with guided intake, approval routing, DocuSign and Adobe Sign execution and a contract repository. That CLM has its own market and its own Gartner category placement. The orchestration layer on top is model driven.
Leegality's original business is document execution, including Aadhaar signatures, stamp paper procurement, approval routing and delivery of completed agreements. Those services retain their purpose without generative models. AI Review adds clause analysis against rules defined by the legal or compliance team, explanations of deviations and suggested replacement language. Obligations AI extracts commitments and assigns their owners, while Smart Extraction fills repository metadata from uploaded agreements. These are identifiable applications of AI to legal work rather than a relabeling of signature automation. They remain features within a broader paperwork platform whose commercial offering also includes document fraud prevention and electronic bank guarantees.
Citation Accuracy and Hallucination Disclosure
Whether the vendor publishes measured accuracy on citations and assertions, grounds output to primary sources, and says plainly what its system does when it does not know. Legal has a documented public record of fabricated citations reaching filed briefs, so an untested claim of accuracy is not evidence.
Leah's Contract Helpdesk answers questions from the customer's agreements and links each response to the clause or document supplying the answer. Its illustrated payment example identifies the agreement version and clause number, while Leah Discovery extends retrieval across a portfolio. Users can open the underlying contract and initiate a reminder, amendment or escalation from the answer. This is a described route from a question to its contractual source. However, the product's categorical claim that Leah does not hallucinate is not supported by a published test set or error breakdown. The AI terms expressly disclaim accuracy, completeness and currency, and linked contract text does not validate external legal authority.
The AI review interface ties a finding to a customer rule and the relevant contract clause. Its example distinguishes requirements that are met, not met or not found, and displays the current clause beside a suggested replacement. That gives a reviewer useful context for deciding whether a contractual requirement has been satisfied. It does not establish legal correctness beyond the supplied rules. No measured error rate, benchmark dataset or independent validation method accompanies the clause review feature. Nor is there a described legal authority retrieval system that supplies primary cases or statutes and verifies their current status before a proposed revision is used.
Autonomy and Oversight Model
What the system decides on its own, what a lawyer must approve, and whether the vendor documents where the review point sits. A tool that drafts under review and a tool that files without one are different products and different risks.
Customer policies determine which Leah agents may act, the data they may access, thresholds, and escalation requirements. The orchestrator applies approvals, escalations, and rejections during execution, then records the action, rationale, policy, inputs, and outcome. Policies are configurable rather than fixed defaults. The AI terms add a categorical limit: automated decisions with legal or similarly significant effects on individuals require adequate human review and legal compliance. Customers must also independently verify outputs and cannot present them as provider approved or wholly human generated. Trials and betas are restricted to internal evaluation. These contractual limits accompany the product's policy, execution, and audit loop.
Legal and compliance teams define the rules that constrain AI Review, then inspect deviations and the reasons attached to them. The contract interface gives users separate actions to replace a clause or dismiss its proposed replacement. Leegality Reviewer adds a configurable approval gate: the sender assigns internal or external reviewers, who can approve or reject the agreement before it proceeds to the signer. Obligations AI separately uses configured obligation types, owners and email reminders. These controls distinguish automated extraction from human contract approval. Their protection depends on configuring the reviewer step; AI analysis alone does not turn a proposed contract into an approved agreement.
Operational and Outcome Evidence
Named, dated evidence that the product works in production at real firms or legal departments. Case studies with figures and identified customers count. Unattributed testimonials and launch announcements do not.
Leah publishes qualitative quotes from four named people. Noelle Perkins is EVP and Chief Legal Officer at Cushman and Wakefield, and Lidia Kamleh is Chief Legal Officer at Dubai Future Foundation. Frances Bain-Cumberbatch is Chief Legal and External Affairs Officer at Ansa McAL, and Zillia Knight is Senior Legal Officer at Terumo Europe. Three results are published with the customer unnamed. A major American logistics company cut contract review time by 91 percent. A global manufacturer protected more than $18 million of revenue, and an American retail REIT tracked more than $2 million of savings. About 54 enterprise logos appear, including Philips, MUFG, Sandoz, Pernod Ricard, Alaska Airlines and Wood PLC. PwC and KPMG appear among them. PwC entered a commercial alliance in March 2024, and Epiq resells Leah in its Service Cloud. Integreon is quoted as an early adopter that resells it, and Pinsent Masons adopted it for managed legal services in July 2025. Partners and customers are shown together without distinction, and the Chief Product Officer of Execo, another services partner, is among the testimonials.
Rupifi's in house counsel Satyanshu Mishra describes using Leegality's contract management product and its configuration options, with the vendor's support helping the team adopt the platform. That is a named legal user discussing the product rather than an unexplained customer logo. The broader execution business also reports IIFL Samasta increasing daily loans per branch from roughly 30 to 35 to roughly 40 to 45 after digitizing paperwork. Those operational figures concern the signing process, not the accuracy or speed of AI clause review. The contract testimonial has no dated baseline, review sample or measurement isolating the contribution of the models.
Privilege and Confidentiality Posture
How client confidences are handled: attorney client privilege and work product treatment, segregation of one client matter from another, whether client data trains any model, and what the vendor commits to in writing rather than in marketing.
Customer inputs and outputs are confidential Customer Data under the May 2026 agreement. Their use is limited to providing and maintaining the service, with a separate AI clause permitting training or improvement solely for that customer's benefit. The trust portal rules out generalized model training, while the DPA identifies four model providers that store or retain no Customer Data. Role permissions and a private Azure OpenAI environment support access isolation. Mutual confidentiality obligations and prior notice of legally compelled disclosure apply. Explicit privilege and work product preservation, and matter-specific retrieval walls inside a customer's organization, remain unspecified.
Contract data is covered by an express product commitment against use in training any AI model. Leegality also states that AI review and obligation extraction read the agreement without retaining another copy, while the repository continues to hold the underlying contract. Its privacy notice describes encryption, approved access on a need to know basis and processing of signer data on customer instructions. These protections give corporate legal teams a concrete confidentiality position. They do not explain privilege preservation, separate law firm matters or the identity and contractual duties of the models underneath. Role restrictions on document execution are narrower than a documented ethical wall for AI answers.
UPL and Professional Responsibility Posture
Whether the vendor is clear that it supplies a tool rather than legal advice, who its audience is, and how it addresses unauthorized practice of law, competence and supervision duties, and jurisdiction limits. ABA Formal Opinion 512 is the reference point. Where the advice line is not the duty a product raises, the axis is read through the nearest professional duty it does raise: judicial conduct rules and the reviewing duty for products sold only to courts, and the duty to bill for time actually spent for products that draft time entries.
Attachment D requires independent review of every AI output for its intended use and prohibits representing output as provider approved or wholly human generated. Automated decisions with legal or similarly significant effects require adequate human review and compliance with law. The platform nevertheless promotes autonomous work across legal, procurement, finance, and contracting functions. These general AI use restrictions establish customer responsibilities, but do not explicitly distinguish legal advice from software assistance, restrict use by jurisdiction, or map professional competence duties. The broad legal automation positioning therefore has a contractual review requirement without a dedicated professional responsibility explanation for practicing lawyers.
Leegality identifies itself as a software business rather than a law firm and addresses business, product, operations and legal teams. Its terms place responsibility for appropriate stamp duty, document enforceability and retention requirements on the customer. The service is framed around Indian law, and customers outside India are responsible for assessing local suitability. This gives a clear boundary around the provider's role in document execution. The AI feature nevertheless describes clause replacements as compliant with the customer's rules without a corresponding account of professional competence duties. No bar specific supervision framework explains how a lawyer should validate those suggestions before advising a client.
AI Governance and Bias Disclosure
Published governance over model behavior: who owns it inside the vendor, what is tested before release, and what is disclosed about disparate output across matter types, parties, or populations.
A dedicated AI governance page names six failure modes the vendor says it engineered out. They include black box decisions that cannot be defended to a regulator or board, and compliance frameworks retrofitted after the fact. Against them the page sets three pillars and a loop of policy, execution and audit. Each action is logged with its rationale and governing policy, in records described as tamper resistant and immutable. The page also says every action is measured against benchmarks for accuracy, bias and outcome, and that accountability is structural rather than aspirational. It names no person or role accountable for model behavior and describes no testing before release. It gives no benchmark method or schedule and discloses no bias measurement result.
Customer rule sets define what AI Review looks for in an agreement, but those rules are an application control rather than an account of how Leegality governs its models. There is no named AI governance owner, release testing program, bias assessment or report of differences in performance across languages and contract types. The platform's Indian language signing options and identity verification features do not answer those questions for clause interpretation. Information security certifications address a different set of controls. A legal team therefore receives a configurable review workflow without a published mechanism for assessing systematic model errors or the vendor's response when those errors recur.
AI Safety and Data Stewardship
Retention, deletion, access control, and what happens to prompts and documents after they are processed. Whether the vendor states its subprocessors and its incident practice, or leaves the buyer to assume.
The DPA names model, hosting, support, signature, and integration subprocessors with their locations and purposes. New subprocessors require 30 days' notice and permit an objection, with termination and unused-fee refunds if unresolved. Security incidents affecting personal data require notice within 48 hours of awareness. The trust portal describes role restrictions, identity-provider authentication, monitoring, incident exercises, and penetration testing. Contract data can be exported during the term and deleted following a request after termination, subject to backup and legal exceptions. A routine prompt history duration remains unspecified. Provider-level zero retention does not define the lifetime of records held by Leah itself.
The privacy notice separates account data from document and signer information processed on customer instructions. It describes encryption during transfer and storage, access approval, monitoring and audits. Uploaded agreements remain for a period determined by customer settings or legal requirements, and the pricing feature list includes automatic purging of signed files. Several service providers and their purposes are named, including the hosting company, signature authorities and electronic stamping services. The AI product adds a commitment not to retain another document copy during processing. Missing pieces include named model subprocessors, a complete prompt and output retention schedule and a customer incident notification timetable.
AI Liability and Recourse
What the vendor stands behind contractually when its output is wrong. Indemnities, caps, carve outs, insurance, and whether any of it is published or only reachable through a negotiated agreement.
Leah's May 2026 Cloud Terms exclude infringement by AI output from the provider's intellectual property indemnity. Attachment D also disclaims output accuracy, completeness and currency, requiring customers to independently verify results. Ordinary cloud service remedies remain: a performance warranty, correction or termination with a refund after an unsuccessful 30 day fix period, and an indemnity for covered service infringement claims. The general liability ceiling is fees paid or payable in the preceding twelve months, with a threefold ceiling for security or DPA breaches and specified uncapped claims. Trials and betas have no indemnity or warranty and a $1,000 cap. These software remedies do not remove the explicit AI output exclusions.
Leegality's standard terms disclaim responsibility for the contents and enforceability of agreements and do not warrant that service results will be accurate or reliable. The liability formula is the greater of INR 100 or fees associated with executing a document, excluding specified expenses and charges, subject to an aggregate ceiling of INR 10,000 per user. Consequential and other indirect losses are excluded. The indemnity runs from the user to Leegality, with no corresponding published protection for an erroneous AI revision. A separately signed agreement takes precedence, so enterprise buyers may have different provisions; the public terms themselves offer little recourse for faulty legal output.
Practice Systems Integration Depth
How deeply the product reaches into the systems legal work already lives in: document management such as iManage and NetDocuments, Word and Outlook, contract lifecycle management, matter management, e-billing, and court filing systems.
Leah connects contract workflows with Salesforce, Microsoft Dynamics and HubSpot opportunities, while an Outlook add in starts contracts, uploads attachments and triggers approvals that synchronize with the CLM. Signature connections let customers configure signing order, copied recipients and expiry dates, then return executed agreements to the repository. Word supports review and tracked changes. The current CLM page also lists SharePoint, OneDrive, Box, Google Drive, Dropbox and NetDocuments, replacing the earlier absence of a named legal document system. ERP connections include SAP, Oracle, Workday and Coupa. Detailed field mappings, direction and permission inheritance for every connector remain unspecified, especially for the document systems.
The Word extension has an explicit setup path through the Microsoft marketplace followed by a Leegality login. Users see assigned tasks in the sidebar, run rule based AI review and share agreements with counterparties from the editor. Guests can review online or download, edit and upload their version without creating an account. Outside Word, APIs connect document journeys to a customer's CRM, loan systems or HR software; webhooks return signed documents to customer servers. These are described transfers and actions, not just integration logos. Permission mapping, version conflict handling and a complete implementation account for each connected business system remain unspecified.
Deployment Model and Data Residency
Where the software runs and where the data sits. Multi tenant cloud, single tenant, private deployment, on premises, and whether region of residence is a published option or an enterprise conversation.
Shared cloud delivery is standard, with single tenant deployment and a private Azure OpenAI environment available for additional isolation. The May 2026 subprocessor schedule adds region-specific hosting arrangements across Microsoft Azure, Google Cloud, and Oracle Cloud. Azure lists Europe, the United States, and Australia; Oracle also includes India, while Google lists Japan and several European jurisdictions. Model providers have their own location lists, selected according to the customer's hosting region where applicable. This distinguishes hosting from model services, but does not establish a complete per-customer map of storage, inference, backups, and support access across each product configuration.
Leegality operates a hosted platform accessed through its dashboard, Word extension or APIs. Both storage and processing of contract data are expressly restricted to servers in India, including AI review and obligation extraction. The privacy notice identifies Amazon Internet Services Private Limited as the hosting provider and likewise places personal data processing in India. There is no advertised alternative region for a customer to select, nor a published private installation offering. The geographic commitment therefore covers the available service rather than a menu of deployment tiers. It does not identify the individual model service or give a detailed account of backup locations within the country.
Security Certifications and Trust Center
Independent attestation a buyer can pull without a sales call: SOC 2, ISO 27001, penetration test summaries, a trust center with current reports and named scope rather than a badge image.
A-LIGN's ISO/IEC 27001:2022 certificate covers the information security management system for design, development, operation, maintenance, and support of Leah CLM and Leah Legal as SaaS. Certificate ISMS-CO-032326 was issued March 23, 2026 and expires March 23, 2029. The trust portal provides the certificate directly, alongside a SOC 3 report covering the contract management and Copilot systems from October 2024 through September 2025. That report addresses security, availability, confidentiality, and privacy, with Azure and customer control dependencies excluded from the auditor's examination. Penetration-test material is also available. These attestations concern system controls, not the correctness of an AI legal recommendation.
The privacy notice names ISO 27001:2022, ISO 27017:2015 and ISO 27018:2019, alongside a SOC 2 Type II attestation covering security, availability and confidentiality. It describes recurring independent audits and separately refers to CERT IN empaneled auditors for Aadhaar and signature requirements. Leegality also provides a trust center entry point and offers its SOC report and auditor details on request. The public statements do not supply the attestation period, named auditor or an inspectable report establishing the full product scope. The standards are more specific than generic security badges, but their existence does not by itself validate the quality of AI contract interpretation.
Model Supply Chain Disclosure
Which models sit underneath, whose they are, where they run, and whether the vendor commits to telling customers when that changes. A legal buyer inherits every dependency it cannot see.
The May 2026 DPA lists Anthropic, OpenAI, Cohere, and Google AI/ML for Leah functionality, each with a no-storage or no-retention statement and defined processing jurisdictions. Azure supports hosting, translation, and Office services; Oracle and Google add hosting options. Zuva handles document intelligence, and ABBYY is limited to older CLM deployments. The platform routes tasks among language models and allows customer customization. New subprocessors require 30 days' notice, with an objection and termination route. Model versions and the provider selected for a particular generated passage remain unspecified. The regional provider list describes available processing arrangements rather than a complete execution record.
Neither the AI Review explainer nor the contract product description identifies the model family or inference provider used for clause analysis and obligation extraction. The privacy notice names the infrastructure host and several execution providers, but it does not distinguish an AI model service from general hosting. A commitment to processing in India and avoiding training on contracts addresses location and use of data, not the identity of the model supplier. There is also no published model change notification procedure. Customers can understand the review workflow while still lacking the information needed to assess a particular foundation model or its replacement.
Commercial Transparency
Whether a buyer can learn what this costs without entering a sales process: published rates, the unit being charged, what sits behind an enterprise tier, and what implementation adds.
The cloud service uses negotiated orders with a default 12-month subscription, automatic renewal, and 30-day nonrenewal notice. Standard, Gold, and Platinum support plans set different support hours, response targets, and availability commitments. Professional services require an order or statement of work, with possible travel expenses and separately quoted configuration work. AI access is described as unlimited subject to fair use, including restrictions on excessive compute, API calls, storage, and transfer. No subscription amount, seat rate, or implementation price is stated. For applicable European switching arrangements, an early termination charge can include the remaining subscription fees despite the right to transfer data.
Basic execution has explicit transaction prices: INR 25 for each Aadhaar signatory and INR 15 for each non Aadhaar signatory. Digital stamping costs INR 45 per paper plus stamp duty and INR 500 per order, with a minimum of 30 papers; signing requires at least INR 100 of credits. The Basic account includes one user and one workflow. Advanced business features require a quote, and the advertised INR 300,000 annual budget dividing line is not an AI subscription price. A first flow can be configured and tested free, but implementation charges beyond that and the cost or allowance for AI Review are not published.
Firm and Practice Coverage
Who the product is actually built for. AmLaw, midlaw, small firm and solo, in house departments, government and courts, and which practice areas are supported rather than merely claimed.
Leah publishes dedicated industry pages for CPG and manufacturing, energy and utilities, financial services, healthcare, and pharma and medical devices. It describes its customers as Fortune 500 enterprises in regulated industries. By function it publishes pages for legal leadership, legal operations, sales and revenue, procurement, and finance. The pages carry distinct propositions written for the General Counsel, the contract operations team, the Chief Procurement Officer and the finance leader. The customer roster spans banking, airlines, pharmaceuticals, consumer goods and engineering. No published page says which practice areas, contract types or matters the platform does not support, and none addresses smaller organizations. Law firms appear only indirectly, through managed service partners, rather than as a served segment.
Leegality focuses on Indian business paperwork, with named uses in banking, lending, microfinance, stockbroking, insurance, human resources and procurement. Contract examples include vendor agreements, master services agreements, nondisclosure agreements, employment letters and loan documentation. Legal teams can define their own compliance rules while business colleagues initiate work, approve it or sign. The terms and privacy notice explicitly center Indian law and leave overseas suitability to the customer. This is a clearer audience than a claim to serve every practice. It is not a published coverage map for litigation, specialist legal research or the full range of legal issues a generated clause might raise.
The 12 legal signals, side by side
Recorded rather than graded. These are the questions a practitioner has to answer before a tool touches a client matter, and the answers are taken from public material only.
Client Data in Training
Can material a lawyer puts into this product be used to train a model?
Attachment D permits use of inputs and outputs to train or improve AI features solely for the customer's benefit. The same agreement treats both as Customer Data. The trust portal excludes generalized model training, and the DPA says Anthropic, OpenAI, Cohere, and Google store or retain no Customer Data for Leah functionality. Private customer improvement is therefore permitted even though generalized training and retention by those model providers are restricted.
Leegality promises that contract data used for AI review or obligation extraction is never used to train any AI model. That promise appears in its contract product explanation, rather than an express model training restriction in the standard terms. The incorporated privacy notice limits signer processing to customer instructions and permits analytics on usage information. It does not clearly grant a separate right to train on agreement content. The policy commitment consequently remains distinct from a negotiated contractual prohibition.
Prompt and Output Retention
How long does the product keep what a lawyer typed, and can that be set to zero?
Inputs and outputs are Customer Data under the AI terms. Export is available during the subscription, and deletion follows a request after termination within 60 days, with backup and legal exceptions. The DPA permits access, return, or deletion of personal data during service but sets no routine prompt history duration. Zero retention at named model providers does not define how long Leah keeps its own conversation, output, or audit records.
Customers can control how long uploaded agreements are stored, subject to legal requirements, and automatic purging of signed files is an available feature. The AI workflow separately promises not to retain a copy of the contract it reads. Those statements do not establish zero retention for the whole account or every generated clause and processing log. The default schedule, backup removal period and exact treatment of prompts and outputs are not specified for the AI service.
Ethical Walls and Matter Segregation
Does retrieval respect the firm’s ethical walls, or can the model read across them?
Leah describes role permissions, restrictions on the data agents may access, single tenant deployment and a private Azure OpenAI environment. These establish claimed controls for separating customer information and limiting access. Its trust portal also describes least privilege and reviews of staff access. The materials do not explain how retrieval enforces a barrier between separate legal matters inside one customer organization, or how permissions inherited from an external document system constrain an agent's answer. Corporate tenant isolation should not be assumed to provide a law firm's matter conflict controls.
Execution roles restrict which team members can authorize documents, and the privacy notice describes access approvals based on need to know. Reviewers and approvers can also be assigned to a particular contract. These controls support differentiated access in a corporate workflow. They do not explain whether repository permissions are reapplied to every AI request, how separate clients are isolated, or how a lawyer excluded from one matter is prevented from receiving its content in an answer.
Third Party Request and Subpoena Notice
If someone subpoenas the vendor for a firm’s data, does the firm hear about it first?
Section 19 permits legally required disclosure of confidential information, including Customer Data. Where law permits, the recipient must give reasonable advance notice and cooperate at the discloser's expense to seek confidential treatment. Inputs and outputs are covered as Customer Data under the AI attachment. The obligation therefore reaches customer AI material as well as uploaded contracts, without a separate transparency report or history of government demands accompanying it.
The privacy notice allows disclosure when courts or other competent authorities legally require it. It supplies no corresponding promise to notify the affected customer before complying, contest an overbroad request or provide a recurring transparency report. General notices about privacy policy changes address a different event. The standard service terms also permit freezing transactions for regulatory obligations without prior intimation, so that provision does not supply an advance warning commitment for compelled access either.
Primary Law Corpus Provenance
Where does the law in this product come from, and does the vendor have the right to use it?
Leah uses the customer's contracts, internal policies and playbooks to answer questions and guide its agents. Those materials are an internal reference base, not an identified external legal corpus. The vendor also refers to established legal precedents, without naming a case law database, jurisdiction, publisher or licensing arrangement. No update schedule accompanies that reference. Source links to a customer's agreement can establish the origin of a commercial term, but do not establish the provenance or rights basis of any external legal authority used in an answer.
The defined inputs are customer contracts and compliance rules configured by the legal team. Leegality does not identify a legal research collection, enumerate its authority sources or explain licenses for statutes, judgments or commentary used by the underlying model. Its separate guides to Indian electronic signatures are educational resources, not a declared retrieval corpus for AI Review. A clause suggestion can follow the customer's rule without establishing the provenance of any additional legal knowledge used to generate it.
Good Law Verification
Does the product tell you when the authority it just cited has been overruled?
Leah describes no citator, treatment signal or currency check, and does not say whether legal authority is reviewed for later history. The platform manages contracts, obligations and procurement workflows rather than retrieving case law, so a citator is not part of what it sells. The vendor does refer to Leah operating against established legal precedents, without identifying any source. That is the one place the product invokes primary authority, and no verification step is described for it.
A contract can be tested against a rule about governing law or another requirement, but no citator or judicial treatment service is identified. The interface's met, not met and not found labels describe compliance with the supplied checklist. They do not certify that a case remains good law or that a statutory requirement has not changed. Changes in law therefore need to be reflected in the team's rules and separately validated before a review result is treated as current legal advice.
Refusal and Uncertainty Behavior
What does the product do when the answer is not in the corpus?
The home page and the AI governance page describe no explicit path for Leah to decline to answer or abstain, and no confidence or grounding rating. The governance loop does produce rejections. Approvals, escalations and rejections are applied automatically according to the customer's rules. Those are policy outcomes set by configured guardrails, not the model declining because it cannot ground a response. Neither page says what Leah does when the customer's own contract set or playbook does not cover the question in front of it.
The review example labels a missing contractual requirement as not found and lets a reviewer dismiss suggested wording. That is useful handling of absent clauses, but it is not a model refusal policy. There is no described behavior for conflicting instructions, inadequate legal support, an unsupported jurisdiction or uncertain interpretation. Nor is a confidence measure accompanied by an escalation procedure for those circumstances. Human approval provides a workflow checkpoint while the model's response to insufficient knowledge remains unspecified.
Fabricated Citation Record
Does a public court record exist addressing fabricated or hallucinated legal citations in output from this product?
Neither Leah nor ContractPodAi appears in the AI Hallucination Cases database maintained by Damien Charlotin. Its entries concern court decisions involving hallucinated content, with tool names recorded where available. Leah's principal workflows cover commercial contracting, procurement, and related legal work rather than preparation of court submissions. That product setting helps explain the limited relevance of litigation records, but a missing entry is not a measure of the accuracy of its contract answers or redlines.
The October 16, 2026 review of the Charlotin database found no entry naming Leegality in either the AI tool field or the remaining case information. The product's main legal output is contractual language and rule analysis, rather than a court submission built from cited authorities. That use profile may affect how an incident would appear in a litigation database. Absence of a named case is not a measured accuracy result and does not establish that fabricated legal assertions cannot occur.
Bar Guidance Alignment
Has the vendor engaged in public with the ethics opinions its buyers are bound by?
Leah publishes nothing that engages with bar or ethics guidance. That includes ABA Formal Opinion 512, state bar guidance in the United States, and Solicitors Regulation Authority or Law Society material. The company is headquartered in London and sells into legal departments across North America, Europe, Asia and Australia. Its published compliance material covers regulation and security frameworks, namely GDPR, CCPA, HIPAA, SOC and ISO. None of it addresses the professional conduct obligations that bind the lawyers using the product.
The company explains Indian signature and documentation requirements and makes its software role distinct from a law firm. It does not connect AI Review's controls to a named bar opinion or a jurisdiction specific framework for lawyers' competence, confidentiality and supervision obligations. Banking and data protection compliance materials address separate regulatory duties. Configurable review approvals can assist a legal team's process, but the vendor does not map those features to professional conduct guidance for use of generative AI.
Billing and Fee Posture
Does the vendor address what happens to the bill when the work takes an hour instead of six?
Leah serves corporate legal, contracting, procurement, and finance teams, and also supports legal services delivered to clients. Pinsent Masons Vario adopted the platform for its Managed Legal Services and Consulting work, including contracting support for customers' internal legal departments. Corporate efficiency figures concern operating cost, while the firm's use can affect client service delivery. The platform records agent actions and policy decisions, but gives no specific method for adjusting client fees or disclosing saved lawyer time.
The published commercial relationship is a business purchasing document execution and contract operations services. Pricing is based on signatures, stamp papers and quoted business features, rather than recording a lawyer's time or allocating an AI expense to a legal client. Leegality identifies business, product and operations teams as its usual buyers alongside legal teams. Its claimed paperwork savings concern corporate operating costs. No client billing ledger, disclosure template or law firm fee allocation workflow is described.
Outside Counsel Guideline Readiness
Can a firm get this vendor through a client’s AI clause without a bespoke negotiation?
Attachment B includes the DPA, processing details, transfer mechanisms, and a subprocessor list by purpose, location, and product. Model providers are Anthropic, OpenAI, Cohere, and Google, alongside hosting, signatures, support, and integration suppliers. Codestone, Freshworks, Oracle, and Totango appear in the May 2026 list. New providers require 30 days' notice and permit objections. The AI terms separately disclose customer-specific training permission and require independent output review.
The privacy notice names Amazon Internet Services, signature providers including CDSL and Protean, SHCIL, NeSL and WhatsApp Business, with their processing purposes. Some other categories remain generic, including SMS, payment and email providers. That supplies part of a procurement disclosure package but omits the model provider for AI clause review. Leegality also offers an information security questionnaire and audit rights through its enterprise arrangements. No prepared outside counsel AI disclosure package or complete legal client approval form is published.
Court Disclosure Support
If a judge’s standing order requires an AI disclosure, can the product produce one?
The audit stage of Leah's published governance loop logs every decision. Each entry records what the agent did, why, under which policy, with what data and with what outcome. The records are described as tamper resistant, immutable and ready for any audit. That gives the action, the rule, the inputs and the result for each action. The published description of the log does not include the model. The platform chooses among several language models for each task and identifies no model or version, so the log does not show which system produced a given passage.
No export built for court disclosure or AI use certification is described. The audit framing is regulatory and internal rather than judicial.
Executed agreements receive a secure audit trail recording the signing journey, and the contract interface preserves reviewers, remarks and recent activity. Those records may help explain who approved or signed an agreement. They do not amount to an export showing which model generated a clause, the prompt used or how counsel verified the output. Leegality promotes the signing record for court use, but no separate AI use declaration or complete model provenance export is described for a filing.
The questions both sides leave open
Derived from the records above rather than written, so it cannot favor either vendor. Take these into both conversations and ask each side the same question.
- Primary Law Corpus Provenance
- Good Law Verification
- Refusal and Uncertainty Behavior
- Bar Guidance Alignment
Which one fits
Choose Leah if
- The project spans contract work, supplier operations and finance processes across connected systems.
- Your organization is prepared to configure agent permissions, policy limits and phased deployment.
- You need Word review and contract management within a broader enterprise orchestration program.
Choose Leegality if
- Your primary need is an Indian agreement journey from clause review through stamping and signatures.
- A legal team wants explicit reviewer approval before a document reaches the signer.
- You prefer a vendor statement covering India based storage and AI processing for the contract service.
In summary
Leah
Leah coordinates contract, legal, procurement and finance workflows using specialized agents. Its CLM includes guided intake, Word redlining, conditional approvals, signature integrations and a repository. Enterprise connections include SAP, NetSuite and Coupa, with governance rules controlling agent actions.
Leegality
Leegality combines AI review and obligation extraction with Indian document execution services. The legal team supplies rules and reviewers, while business users can initiate and complete the workflow. Signed and legacy agreements share a repository for subsequent obligation management.
Questions buyers ask
Does Leah replace its contract platform with agents?
Its current offering retains a CLM workflow with intake, review, approval, signature and repository functions, surrounded by an orchestration layer. The proposal needs to specify how those agents interact with the customer's systems. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
What happens after a Leegality contract is signed?
The agreement enters the repository, and configured obligation templates can extract commitments, assign owners and trigger email reminders. The product review by AI Legal Index identifies this as a distinct AI function beyond clause checking.
Are both products sold for a published AI subscription amount?
No comparable public AI subscription is established. Leah scopes enterprise implementation and modules through a proposal. Leegality publishes Basic execution transaction prices but leaves AI contract operations to a commercial discussion. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Does an agent audit trail establish legal accuracy?
A log can explain an action, its policy and its outcome. It does not itself establish that the interpretation or proposed clause is legally correct. The configured approval and verification process remains important for both offerings. From the AI Legal Index, based on each vendor's own published materials as of October 16, 2026. No vendor pays for placement.
Neither vendor paid for inclusion, placement or a grade, and neither reviewed this page before it published. Everything on it comes from public material on the dates shown. How the index grades.
Leah's enterprise scope and Leegality's Indian execution infrastructure are distinct purchasing considerations. Governance logs and contractual review steps do not guarantee correct legal output.